Data Annotators (Computer Vision)

We are looking for a meticulous and detail-oriented Data Annotator to assist in building high-quality datasets for computer vision projects. As a Data Annotator, you will be responsible for labeling, classifying, and tagging images and videos, helping to train and improve machine learning models for a variety of computer vision applications, including object detection, image segmentation, and image recognition. Requirements Key Responsibilities Data Labeling: Accurately label and annotate images and videos for various computer vision tasks, including object detection, classification, segmentation, and more. Quality Assurance: Ensure the accuracy and consistency of annotations by reviewing your work and that of others, maintaining a high level of data quality. Tool Utilization: Use annotation tools and software to perform data labeling tasks efficiently, while adhering to project guidelines and requirements. Collaborate with Teams: Work closely with data scientists, machine learning engineers, and project managers to understand project needs, goals, and deadlines. Dataset Organization: Help organize and manage large-scale datasets, ensuring proper data handling, storage, and version control. Feedback and Improvement: Provide feedback on annotation guidelines and suggest improvements for better data accuracy and efficiency. Meeting Deadlines: Complete annotation tasks in a timely manner while maintaining a high level of attention to detail. Required Qualifications Education: High school diploma or equivalent; a degree in computer science, information technology, or a related field is a plus. Experience: Prior experience in data annotation, especially in computer vision, is highly desirable. Technical Skills: Familiarity with computer vision concepts such as object detection, image classification, and segmentation are a plus. Proficiency in using data annotation tools is a plus. Basic understanding of machine learning concepts. Attention to Detail: Ability to follow guidelines meticulously and maintain high standards of data accuracy. Communication Skills: Strong written and verbal communication skills to collaborate effectively with team members and provide clear feedback.